AWS Public Sector Blog

Category: Education

AWS Branded Background with text "University of Luxembourg and AWS collaborate to improve educational experiences"

University of Luxembourg and AWS collaborate to improve educational experiences

AWS and the University of Luxembourg have signed a Memorandum of understanding (MoU) to enhance education through the use of cutting-edge cloud technology. The MoU aims to strengthen the collaboration in cloud computing, focusing on skills development, research, and artificial intelligence (AI) integration. Read this post to learn more.

AWS Branded Background with text "

Empowering bacterial genomics education with Amazon WorkSpaces

When Siriraj Medical Research Center planned their “Nanopore workshop: bacterial genome bioinformatics series” for more than 60 researchers, they faced a common challenge: how to provide consistent, high-performance computing environments for complex genomic analyses. AWS offered the solution through Amazon WorkSpaces, transforming how Siriraj Medical Research Center delivers hands-on bacterial genomics training.

AWS Branded Background with text "Cal Poly seeks to transform procurement process with generative AI-powered scope of work generation"

Cal Poly seeks to transform procurement process with generative AI-powered scope of work generation

In today’s complex procurement landscape, creating comprehensive and accurate statements of work scopes can present a challenge for university procurement teams. To address this growing challenge, the Digital Transformation Hub (DxHub) at Cal Poly—powered by Amazon Web Services (AWS) and part of the AWS Cloud Innovation Centers (CIC) program—took action. The DxHub collaborated with the university’s Strategic Business Services department to create “Scope Builder,” a generative AI-powered application that aims to revolutionize how procurement specialists develop work scopes for university requests for proposals (RFPs) and contracts.

AWS branded background design with text overlay that says "Leverage generative AI for biocuration using Amazon Bedrock and Amazon Nova foundation models "

Leverage generative AI for biocuration using Amazon Bedrock and Amazon Nova foundation models

Personalized therapy for diseases such as cancer utilizes an individual’s unique genomic profile to guide treatment decisions. However, the effect and clinical significance of most genetic variants are uncertain. Accurate classification of the clinical significance of novel genetic variants requires extensive curation of peer-reviewed biomedical literature. In recent years, generative AI has demonstrated promising results in information extraction and text summarization. In this post, we explore how various AWS-native solutions can be used to create a secure, retrieval-augmented, and cost-effective biomedical chatbot designed to facilitate biocuration.

AWS branded background design with text overlay that says "Amazon EC2 Spot Instances for scientific workflows: Using generative AI to assess availability"

Amazon EC2 Spot Instances for scientific workflows: Using generative AI to assess availability

In recent years, public sector organizations have found success running their scientific data processing workloads on Amazon Web Services. As the number of workloads increase with the massive data volume and complex scientific simulations, organizations are looking for ways to optimize cost while maintaining research momentum. Amazon EC2 Spot Instances presents a compelling option to run unused Amazon Elastic Compute Cloud (Amazon EC2) capacity with an up to 90 percent discount compared to On-Demand prices. However, the intermittent nature of Spot Instances often requires careful consideration, especially when handling time-sensitive mission-critical workloads. In this post, we discuss how organizations can effectively identify opportunities to use Spot Instances and Amazon Q Business to develop an enhanced Spot Instance analysis. 

AWS branded background design with text overlay that says "4 best practices to enhance research IT operations with AWS"

4 best practices to enhance research IT operations with AWS

Academic research IT departments around the world face the same challenge: how to balance their existing on-premises infrastructure with the opportunities of cloud computing. At the Supercomputing 2024 (SC24) conference, Amazon Web Services hosted a panel featuring two research IT leaders: Circe Tsui, associate director of solutions architecture at Emory University in the Office of Information Technology, and Dr. Robert Shen, director of the RMIT AWS Supercomputing Hub (RACE) at the Royal Melbourne Institute of Technology (RMIT). During the panel, Tsui and Shen shared how their institutions use AWS to augment and enhance their research operations with more scalability, security, and collaboration alongside their on-premises infrastructure. Read this post to learn more.

AWS branded background design with text overlay that says "Coming to a city near you: AWS State, Local, and Education Learning Days"

Coming to a city near you: AWS State, Local, and Education Learning Days

By 2026, more than 90 percent of organizations worldwide will face challenges related to an IT skills shortage. Artificial intelligence skills are among the most in-demand, but a variety of cloud skills like architecture, data management and storage, and software development are among the top 10 needed IT skills. To address these needs, Amazon Web Services hosts AWS State, Local, and Education Learning Days, a series of no-cost in-person events nationwide. These one-day events provide IT professionals and business executives in state and local government (SLG) and education with hands-on learning opportunities to grow their cloud skills. Read this post to learn more.

AWS branded background design with text overlay that says "How Amazon Redshift ML can help enhance outcomes for underperforming, at-risk students"

How Amazon Redshift ML can help enhance outcomes for underperforming, at-risk students

Higher education institutions are under increasing pressure to demonstrate the effectiveness of their programs and provide students with a clear path to degree completion. Data analytics can help these institutions proactively identify and support at-risk students, allowing them to develop personalized intervention strategies to improve student retention and graduation rates. In this post, we’ll explore how Amazon Redshift ML, a powerful machine learning (ML) capability within the Amazon Redshift data warehouse, can enable higher education leaders to quickly predict student outcomes and communicate insights to key stakeholders.

AWS branded background design with text overlay that says "Govplace helps the National Institutes of Health Office of Portfolio Analysis scale on demand and reduce research costs on AWS"

Govplace helps NIH Office of Portfolio Analysis scale on demand and reduce research costs on AWS

As the primary agency of the US government responsible for biomedical and public health research, the National Institutes of Health (NIH) is one of the leading medical research centers in the world. The NIH Office of Portfolio Analysis (OPA) is tasked with helping NIH prioritize its research. OPA wanted to find a better way to optimize its cloud costs as its analytical research demands continued to grow. That need led OPA to work with AWS Partner Govplace, a systems integrator and solution provider for the public sector. Read this post to learn more about how OPA reduced research costs and scaled on demand.

AWS branded background design with text overlay that says "53 new or updated datasets available on the Registry of Open Data on AWS"

53 new or updated datasets available on the Registry of Open Data on AWS

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). AWS works with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-based techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. The full list of publicly available datasets are on the Registry of Open Data on AWS and are now also discoverable on AWS Data Exchange. This quarter, AWS released 53 new or updated datasets and you can learn more about them in this post.